The paper titled "User Engagement in Mobile Health Applications", coauthored by Babaniyi Yusuf Olaniyi, Ana Fernández del Río, África Periáñez, and Lauren Bellhouse, describing the research performed by benshi.ai in collaboration with the Maternity Foundation, was presented by Ana Fernández del Río, our Head of Data Science Research, at the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. The conference, a well-known forum for the advancement, education, and adoption of the science of knowledge discovery and data mining, was held in Washington D.C. on August 14–18, 2022.
The paper, which can now be accessed through the ACM Digital Library, along with an explanatory video talk by Babaniyi Yusuf Olaniyi, proposes novel methods for studying user engagement in mobile health applications designed for front-line healthcare workers. Through this research, we highlighted the impact of mobile health applications in revolutionizing the healthcare ecosystem by enhancing the efficiency and quality of service. The data for the analyses were extracted from logs of the Safe Delivery App, developed by the Maternity Foundation. In addition, we explained how these methods can help formulate strategies to increase the engagement of health workers in online learning and capacity building tools, which is especially valuable in resource-poor settings to enhance patient care and promote global health.